PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (290 utterances, 1,416 words searched).

  1. look at the socks ! MOT · eng_USA_Brown/sarah121.cha, line 28 · Sarah 4;08
  2. (a)n(d) you're not dirty at all # huh ? MOT · eng_USA_Brown/sarah121.cha, line 132 · Sarah 4;08
  3. what is it you like to do best # Sarah # at supper time ? MOT · eng_USA_Brown/sarah121.cha, line 354 · Sarah 4;08
  4. are you good at setting the table ? MEL · eng_USA_Brown/sarah121.cha, line 369 · Sarah 4;08
  5. look at your socks . MOT · eng_USA_Brown/sarah121.cha, line 828 · Sarah 4;08
  6. you didn't get a chance at what ? MOT · eng_USA_Brown/sarah121.cha, line 1133 · Sarah 4;08
  7. you got the bus up at the school . MOT · eng_USA_Brown/sarah121.cha, line 1200 · Sarah 4;08
  1. MOTw@l h@l d@l h@l !
    MOTget out o(f) here .
    MOT*MOT: look at the socks !
    MOTugh !
    GAIwhat were you doing out there # Sarah ?
  2. MOTwhat'd she do that for ?
    CHI(a)n(d) she got all dirt on her hands .
    MOT*MOT: (a)n(d) you're not dirty at all # huh ?
    CHIjust a little bit .
    MOTjust a little bit of dirt # yeah .
  3. CHIhey # dis is goin(g) be a snake .
    CHIrattle@o # rattle@o .
    MOT*MOT: what is it you like to do best # Sarah # at supper time ?
    MOTwhen Mama's gettin(g) supper # what do you like to do best ?
    CHII like to set the table .
  4. CHIcandles .
    MOTcandles .
    MEL*MEL: are you good at setting the table ?
    CHIyup # I do it neat .
    CHII try to get a face+cloth .
  5. CHII don't say that no more .
    MOTwhat ?
    MOT*MOT: look at your socks .
    CHIgood !
    MOTy(ou) know what I'm gonna do ?
  6. MELthe Snow_Queen .
    CHI(a)n(d) we didn't even get a chance .
    MOT*MOT: you didn't get a chance at what ?
    CHInothin(g) .
    CHInot the Snow_Queen .
  7. MOTyou didn't walk anywhere .
    CHIyes sir .
    MOT*MOT: you got the bus up at the school .
    MOTyou walked up the school with the big kids .
    CHIno sir .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown4.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah121.chaSarah 4;8.131,416774.94

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. at7 · 100.0%